function [ outputs ] = feedForward( net, input , activationFn, BETA)
%FEEDFORWARD Summary of this function goes here
%   Detailed explanation goes here

umbral = -1;
layers = size(net,2);
outputs{1} = [ input' ; umbral ];
for i=1:layers    
    aux = net{i}*outputs{i};
    result =  [(transferenceG(aux, activationFn, BETA)) umbral];
    outputs{i+1} = result';
    
    
end






end

